News Aggregator

Gemma 3: Unlocking GenAI Potential Using Docker Model Runner

Aggregated on: 2025-04-17 16:28:26

The demand for fully local GenAI development is growing — and for good reason. Running large language models (LLMs) on your own infrastructure ensures privacy, flexibility, and cost-efficiency. With the release of Gemma 3 and its seamless integration with Docker Model Runner, developers now have the power to experiment, fine-tune, and deploy GenAI models entirely on their local machines. In this Blog, we’ll explore how you can set up and run Gemma 3 locally using Docker, unlocking a streamlined GenAI development workflow without relying on cloud-based inference services.

The Hidden Breach: Secrets Leaked Outside the Codebase Pose a Serious Threat

Aggregated on: 2025-04-17 14:13:26

When you think of secrets scanning, most people immediately think about source code repositories on platforms like GitHub, GitLab, and Bitbucket. While the codebase is a source you absolutely should monitor, this is just a part of the overall secrets security story. Indeed, secrets leaking in code are a major concern. In the GitGuardian’s 2025 State of Secrets Sprawl Report, the scale of this issue has surged dramatically. In 2024 alone, over 23.7 million new hardcoded secrets were added to public GitHub repositories — a 25% increase from the year before. And that’s just GitHub.

Integrating Jenkins With Playwright TypeScript: A Complete Guide

Aggregated on: 2025-04-17 12:28:26

In this blog post, we'll explore how to set up and integrate Jenkins with Playwright TypeScript for automated testing. This integration enables continuous integration and automated test execution in your development pipeline. Playwright is a modern, open-source automation testing framework developed by Microsoft that enables reliable end-to-end testing for web applications. It supports multiple browser engines (Chromium, Firefox, and WebKit) and allows you to write tests in multiple programming languages, including TypeScript, JavaScript, Python, and .NET. Playwright is known for its auto-wait capabilities, strong reliability, and cross-browser testing features.

How Spring and Hibernate Simplify Web and Database Management

Aggregated on: 2025-04-16 21:28:25

In modern software or website development processes, Java frameworks are widely used as they make it easy to build dynamic apps and websites. Moreover, in 2023, the value of the Java frameworks software market was USD 3,982.40 million. It is forecasted to reach USD 9,049.22 million by 2030. This proves the significance of using Java frameworks such as Grails, Google Web Toolkit (GWT), Quarkus, and the Hibernate and Spring frameworks. But today, I am going to discuss the Spring and Hibernate frameworks since developers extensively utilize them. Throughout the article, I will help you understand what these two frameworks actually do, their best features, their flexibility, and much more.

How AI Is Changing the Way Developers Write Code

Aggregated on: 2025-04-16 19:28:25

Remember when GitHub’s CoPilot first made waves by automatically generating source code in 2021? It all seemed like a great way to streamline the process until CCS researchers found that 40% of the code generated was highly vulnerable as it included design flaws and bugs. But GitHub quickly learned from their mistakes — and so did numerous other AI coding models.

Debugging Deadlocks Using Java Synchronization Aids

Aggregated on: 2025-04-16 17:43:25

One of the most famous deadlocks is the one encountered in the well-known problem of the ‘dining philosophers.’ Briefly, it is said that ‘n’ philosophers sit at a round table aiming for Chinese food. On the table, there are ‘n’ chopsticks, one between every two philosophers. As the venue is a pleasant and productive one, they are not only eating but also thinking, alternating between the two. In order to be able to eat, each needs to acquire two chopsticks first, eat, then put them back on the table and get back to thinking. Without getting into further details, one can easily observe that in the situation where each philosopher grabs the chopstick to his right and then waits for the one on the left without realizing the former, the deadlock appears.

Feature Flag Framework in Salesforce Using LaunchDarkly

Aggregated on: 2025-04-16 15:28:25

Releasing new features in a Salesforce environment can sometimes feel like walking a tightrope; one misstep can take down mission-critical processes. That’s why feature flagging has emerged as a powerful strategy. Instead of deploying features to everyone all at once, you introduce them incrementally, fine-tuning your approach along the way. In this article, I’ll share how I built a feature flag framework using custom permissions, permission sets, and an integration with LaunchDarkly. This setup has helped my team safely roll out new Salesforce functionality while maintaining complete control over who sees what and when.

Interrupt Testing: Bulletproof Your App for the Real World

Aggregated on: 2025-04-16 14:28:25

Interrupt testing is all about throwing real-world curveballs at your mobile app. Things like:

Zero Trust Architecture: Revolutionizing Network Security in the Digital Age

Aggregated on: 2025-04-16 13:58:25

The Paradigm Shift in Cybersecurity In the rapidly evolving landscape of digital threats, traditional network security models have become increasingly obsolete. Enter Zero Trust Architecture (ZTA)—a revolutionary approach that fundamentally challenges decades of established cybersecurity thinking. Gone are the days of "trust, but verify." The new mantra is unequivocal: "never trust, always verify." The digital battlefield has transformed. Perimeter defenses that once seemed impenetrable now resemble medieval walls against modern artillery. Sophisticated cyber threats—state-sponsored hackers, advanced persistent threats, insider risks—have rendered conventional security models dangerously inadequate. Zero Trust emerges not as a mere technological trend, but as a critical survival strategy for organizations navigating the treacherous waters of modern cybersecurity.

Enhancing Avro With Semantic Metadata Using Logical Types

Aggregated on: 2025-04-16 13:28:25

Apache Avro is a widely used data format that keeps things compact and efficient while making it easy to evolve schemas over time. By default, it comes with basic data types like int, long, string, and bytes. But what if you need to store something more specific, like a date or a decimal number? That’s where logical types come in. Logical types let you add semantic meaning to your data. They ensure that values like timestamps or IP addresses are interpreted correctly while still benefiting from Avro’s optimized encoding. We’ll also take a deep dive into a specific use case and how logical types can enhance data security by enforcing structured storage and interpretation of sensitive information.

Java 23 Features: A Deep Dive Into the Newest Enhancements

Aggregated on: 2025-04-16 11:28:25

As Java continues to evolve, each new release aims to introduce features that improve the language’s performance, usability, and flexibility. By adopting this release, you can stay ahead of the curve and prepare for when these features become stable in future LTS versions. In this article, I will give you a quick overview of significant changes in Java 23, focusing on the most notable JEPs (JDK Enhancement Proposals). Those interested in previous changes can check out my earlier article on Java 21 features, and you can also read Dariusz Wawer’s older piece with a detailed description of Java 17 features (along with a comparison to Java 8).

Terraform Drift Detection at Scale: How to Catch Configuration Drift Early

Aggregated on: 2025-04-15 21:28:25

While Terraform possesses the declarative model for managing infrastructure across cloud platforms, it makes one assumption that is rare at scale: that the state of the deployed infrastructure is always managed exclusively through Terraform. In practice, environments evolve. Under such pressure, teams manually make changes, apply hotfixes directly in the cloud console, and deploy infrastructure through the parallelisation of automation. These changes create configuration drift outside of the Terraform lifecycle. The infrastructure stays functional but is misaligned with the Terraform codebase, causing unpredictable behavior, broken expectations, and sometimes even production incidents.

Securing Parquet Files: Vulnerabilities, Mitigations, and Validation

Aggregated on: 2025-04-15 19:28:25

Apache Parquet in Data Warehousing Parquet files are becoming the de facto standard for columnar data storage in big data ecosystems. This file format is widely used by both sophisticated in-memory data processing frameworks like Apache Spark and more conventional distributed data processing frameworks like Hadoop due to its high-performance compression and effective data storage and retrieval. Major companies like Netflix, Uber, LinkedIn, and Airbnb rely on Parquet as their data storage file format for large-scale data processing.

Inheritance in PHP: A Simple Guide With Examples

Aggregated on: 2025-04-15 17:43:25

Understand the Inheritance in PHP Inheritance gives you the ability to use the code from another class. It helps reduce repetition and also makes your code organized. When you create a parent class with common properties and methods, the child class extends it and gets access to that code. The child can also add its own features or override the parent’s methods.

How to Attach SQL Database Without a Transaction Log File

Aggregated on: 2025-04-15 16:13:25

Each SQL Server database contains a transaction log file (.ldf) that records all transactions and changes made by each transaction. This log file is an important part of the database, and SQL Server uses it to restore the database to a consistent state in case of system failure. While attaching the SQL database, you also require the transaction log file, along with the MDF file. However, you can attach the database even without the transaction log file. In this article, you will learn how to attach a SQL database without a transaction log file.

Why GenAI Apps Could Fail Without Agentic Frameworks

Aggregated on: 2025-04-15 15:28:25

Did you ever feel like working with AI frameworks is like having a conversation with a boring husband (as per 99.99% wives) who only answers when asked but never takes the initiative? In one of my previous blogs, we discussed LangChain, which opened up the possibility of chaining together different AI models and tools. But here’s the catch: LangChain and similar frameworks are fundamentally reactive. They answer questions, process inputs, and carry out predefined steps, but they don’t exactly “think” for themselves or solve complex workflows automatically. This is where the need for agentic frameworks arises.

Overcoming React Development Hurdles: A Guide for Developers

Aggregated on: 2025-04-15 14:13:25

React is a powerful tool for building user interfaces, thanks to its modular architecture, reusability, and efficient rendering with the virtual DOM. However, working with React presents its own set of challenges. Developers often navigate complexities like state management, performance tuning, and scalability, requiring a blend of technical expertise and thoughtful problem-solving to overcome.

Mastering Ownership and Borrowing in Rust

Aggregated on: 2025-04-15 13:13:25

Rust is a systems programming language with the intent of being fast and safe. Another defining and powerful feature of Rust is its ownership system that allows it to have memory safety without needing a garbage collector. But owning also makes the memory management together with borrowing and references so simple. These are the concepts you must master to write safe, concurrent, and efficient Rust programs. Understanding Ownership in Rust Rust’s method of managing memory is ownership: it places strict and differentiating rules on compile time to prevent common memory bugs such as null pointer dereferences, data races, and memory leaks. At any point in time, Rust assigns every value to a single owner, and when the owner goes out of scope, Rust will deallocate the memory. The idea behind this is critical in making Rust a rock-solid language, especially for system-level programming.

Emerging Data Architectures: The Future of Data Management

Aggregated on: 2025-04-15 11:13:25

In my last article about data architectures, you learned about emerging data architectures like data mesh, Generative AI, and Quantum-based, along with existing architectures like Data Fabric. In this article, you will continue to learn about emerging data architectures like LakeDB and Zero ETL, aligning with the future trends of Data Management and architecture. The landscape of data architecture is evolving rapidly, driven by the increasing complexity of managing vast amounts of data and the growing adoption of advanced technologies such as generative AI, edge computing, and decentralized systems. As businesses strive to stay competitive in a data-centric world, emerging data architectures are reshaping how organizations store, process, and utilize their data.

A Deep Dive into Apache Doris Indexes

Aggregated on: 2025-04-14 21:28:24

Developers in the big data field know that quickly retrieving data from a vast amount of information is like searching for a specific star in the constellations — extremely challenging. But don't worry! Database indexes are our “positioning magic tools,” capable of significantly boosting query efficiency. Take Apache Doris, a popular analytical database, for example. It supports several types of indexes, each with its own unique features, enabling it to excel in various query scenarios. Today, let's explore Apache Doris indexes in detail and uncover the secrets behind their remarkable performance.

Jira Restore And Disaster Recovery: Scenarios and Use Cases

Aggregated on: 2025-04-14 20:13:24

It’s hard to imagine the company managing its projects without issue-tracking tools. For example, Jira has probably become one of the most popular project management software solutions for organized teams. According to Atlassian, over 180k customers in about 190 countries use Jira in their daily work. So, what will they do if their Jira account suddenly fails to work? Every agile team, project management, product management, and software development team leader and member should consider a situation like that and have a plan to overcome any disaster with minimal impact.

How Doris + Hudi Turned the Impossible Into the Everyday

Aggregated on: 2025-04-14 19:28:24

In the world of big data, there's a legend that goes like this: A data scientist, constantly worried about query performance and working late every night to optimize SQL, suddenly discovered the "perfect match" of Doris and Hudi, and immediately kicked into "supersonic" mode — query speeds so fast that even the boss couldn't believe it! Today, this legend is widely circulated in the data community. Many data engineers jokingly say that processing data used to be like crossing a river in a canoe — slow and risky. Now, with the "giant ship" of Doris + Hudi, they can not only sail smoothly but also elegantly travel through time to view every exciting moment of historical data.

Overcoming MFA Test Automation Challenges

Aggregated on: 2025-04-14 18:28:24

Multi-factor authentication (MFA) has become an essential tool for safeguarding sensitive systems. As businesses strive to comply with regulatory requirements, the integration of MFA into workflows is now standard practice. However, automating tests for MFA-enabled systems poses unique challenges for QA teams. In this article, we will focus on a critical topic: what challenges arise when testing workflows with MFA, and what strategies can help overcome them?

Beyond Microservices: The Emerging Post-Monolith Architecture for 2025

Aggregated on: 2025-04-14 17:13:24

The Rise and Slowdown of Microservices Microservices gained popularity by solving issues in monolithic systems. In the 2010s, teams embraced splitting applications into small, single-purpose services for independent development, scalable deployment, and varied tech stacks. This approach, supported by cloud and containers, promised quicker releases and resilience. Micro frontends brought these ideas to the UI, allowing multiple teams to build features in parallel using different web frameworks. Early on, the benefits were obvious: squads gained autonomy, they could “deploy independently” using the right tools for each task, and they could scale parts of an app on demand. Over time, though, problems arose in the microservice-first model. Engineering leaders noticed that keeping track of dozens or hundreds of services didn’t always pay off. In reality, microservices can be just as tricky as a monolith — services often end up tightly coupled, changes to one can break another, and running thousands of tiny services requires huge tooling and operational effort. Once the initial excitement wore off, companies ran into these integration struggles (some engineers even mention “microservice fatigue” from years of dealing with tangled issues).

Introducing Neuron AI: Create Full-Featured AI Agents in PHP

Aggregated on: 2025-04-14 16:28:24

In the last few months, I have worked hard to push the integration of AI agents into my SaaS product to a higher level. It was a very long journey, starting more than a year ago with the first experiments. I have to say that understanding all the moving parts of an AI-driven system was far from easy. As a PHP developer, I struggled a lot, mainly because the PHP ecosystem for developing this kind of “Agentic” features into existing applications is not as advanced and rich as it is in other technologies.

Why Generative AI and Data Streaming Are Replacing Visual Coding With Low-Code/No-Code Platforms

Aggregated on: 2025-04-14 15:28:24

This blog explores the evolution of low-code/no-code tools, their challenges, when (not) to use visual coding, and how generative AI and data streaming with Apache Kafka and Flink are reshaping the software and data engineering landscape. Low-code/no-code tools have been praised as transformative for software development and data engineering, providing visual interfaces that democratize technology access for non-technical users. However, the low-code / no-code space — saturated with hundreds of vendors and tools — faces challenges in scalability, consistency, and integration.

Optimus Alpha Analyzes Team Data

Aggregated on: 2025-04-14 14:13:24

TL; DR: Optimus Alpha Creates Useful Retrospective Format In this experiment, OpenAI’s new stealthy LLM Optimus Alpha demonstrated exceptional performance in team data analysis, quickly identifying key patterns in complex agile metrics and synthesizing insights about technical debt, value creation, and team dynamics. The model provided a tailored retrospective format based on real team data. Its ability to analyze performance metrics and translate them into solid, actionable retrospective designs represents a significant advancement for agile practitioners.

Critical Thinking In The Age Of AI-Generated Code

Aggregated on: 2025-04-14 13:13:24

One of the first rules I learned about writing code is that you have to understand it line by line. Verify and validate instead of assuming and wishful thinking. The use of AI code assistants nowadays tends to make software developers forget this important rule. One of the biggest misconceptions about AI code assistants is that they simply “speed up” development. While they do increase the volume of code written, this doesn’t necessarily translate into better software. The more important question is: Does AI-generated code improve long-term maintainability?

Introducing SmallRye LLM: Injecting Langchain4J AI Services

Aggregated on: 2025-04-14 12:43:24

If you’re a Java developer wanting to build AI agents or interface with various large language models (LLM) in Java, you will be familiar with Langchain4J. What Is Langchain4J Simplified? LangChain4J is essentially a toolbox for Java developers that makes it easier to add advanced language AI capabilities (like chatbots or text generators) to their applications, without having to deal with a ton of complicated details.

Overview of Telemetry for Kubernetes Clusters: Enhancing Observability and Monitoring

Aggregated on: 2025-04-14 11:58:24

Kubernetes has become a norm for deploying and managing software in a containerized manner. Its ability to dynamically manage microservices and scale has revolutionized software development in current times. However, it is not an easy task to maintain transparency in and monitor availability and performance of Kubernetes clusters. That is where telemetry comes in. Telemetry in Kubernetes involves collecting, processing, and visualization of cluster information for cluster health, fault diagnostics, and performance optimizations. In this article, we will see why telemetry is significant, key components, tools, and best practice in developing an effective observability stack for Kubernetes.

Design Patterns for Scalable Test Automation Frameworks

Aggregated on: 2025-04-11 18:13:23

Introduction to Scalable Test Automation Frameworks With web applications becoming more and more complicated, test automation frameworks have become a necessity for modern software development teams to be able to scale and have a solid testing infrastructure in place. These frameworks provide an essential function in verifying the quality and reliability of software products by automating the testing process and minimizing the total cost and time needed for regression testing.

How to Write a Good index.html File

Aggregated on: 2025-04-11 15:58:23

Every web developer has been there: you're starting a new project and staring at an empty file called index.html. You try to remember which tags were meant to go in the <head> again? Which are the meta tags that are best practice, and which ones are deprecated? Recently, I found myself in this exact situation. My first instinct was to copy the head section from a previous project, but as I reviewed the code, I realized some tags were outdated or simply didn't apply to my new project. What followed was a deep dive into HTML head tags — which ones are essential, which are optional, and which are just cluttering my code.

Optimizing AI Interactions: Crafting Effective Prompts for Accurate Response Generation

Aggregated on: 2025-04-11 14:58:23

The rapid scale of evolution of LLMs has created new possibilities for the popularity of generative AI. For example, tools such as ChatGPT, the latest iteration, GPT-o1 (Strawberry), and Google Gemini now offer reasoning, multimodal processing, and contextual understanding. It is helping businesses and people achieve new improvements that would have been impossible a few years ago. Prompting, the process of training models by creating well-structured inputs, has become significantly popular. Mastering advanced prompts is difficult, but with a team of experts, generating accurate, meaningful, and reliable outcomes becomes easy. It also reduces time spent on manual tasks.

Understanding MEAN Stack: What It Is and Is Not

Aggregated on: 2025-04-11 13:13:23

The goal of this article is to explain the components and foundation of MEAN stack development — what it is and what it is not. Before we define the MEAN stack development environment, let’s talk about what it is not.

Chaos Engineering for Microservices

Aggregated on: 2025-04-11 13:13:23

As someone who works closely with distributed systems and microservices, I've seen firsthand how complex things can get once Kubernetes, Istio, and service meshes enter the picture. The shift to a cloud-native world is exciting, but it brings new challenges — especially around resilience. We can't just hope things won’t fail — because they will. That’s where chaos engineering comes in. It’s a proactive way to build confidence in your system’s ability to handle real-world disruptions by intentionally injecting failure and observing how everything holds up.

7 Effective Conflict Resolution Strategies for Software Development Teams

Aggregated on: 2025-04-11 11:13:22

Conflict resolution is not just a process but a skill for team leaders to address disagreements between two or more parties to drive consensus. Where different personalities and perspectives work toward shared goals, conflicts are certain to arise, and this can be particularly challenging for software development teams that thrive in collaboration and innovation. Whether it’s disagreements over technical approaches, mismatches in priorities, unclear requirements, differences in work styles, conflicting points of view, or arguments over standards, unresolved conflicts may have undesirable impacts on the core strength, collaboration, or productivity of a team.

The One Interview Question That Lost You the Job

Aggregated on: 2025-04-10 18:58:22

People worry — sometimes with justification, but often without — about small things that might have tipped an interview or job hunting interaction against them. Were they dressed “right”? Too dressed up? Not enough? They joined the zoom call 1 minute late, did that ruin the whole thing? Did they answer every single question? Did they ask too many questions themselves? And on and on and on. My perspective — built from 35 years in tech as well as trying to help friends find their own new roles from time to time — is that most interviews are a series of moments that all add up. No individual moment is a deal-breaker. Instead, how a candidate “did” often comes down to the overall sense the interviewer feels after the entire conversation.

Transforming Data Analytics by Combining SQL and ML

Aggregated on: 2025-04-10 17:28:22

SQL has been the backbone of data and analytics for decades, providing a standardized approach to storing, retrieving, and manipulating data. However, as data volumes grow exponentially and analytical requirements become more complex, traditional SQL approaches face limitations. Here is where AI and ML enter the picture, extending SQL's capabilities beyond simple querying to include predictive analytics, pattern recognition, and automated optimization. ML algorithms and SQL go hand in hand in creating a synergistic relationship: SQL provides a structured framework for data retrieval and management, while ML algorithms bring advanced analytical capabilities that can uncover hidden patterns and make predictions based on historical data. This integration is transforming how organizations interact with their data, enabling more sophisticated analysis without requiring users to leave their familiar SQL environment.

Monitoring journald Logs With Event-Driven Ansible

Aggregated on: 2025-04-10 17:28:22

Monitoring journald is essential for keeping systems running smoothly and securely. By regularly checking logs generated by systemd, administrators can catch potential issues like failing services or resource constraints — before they turn into major problems. Beyond performance and troubleshooting, journald is a powerful tool for security and compliance. It helps track login attempts, privilege escalations, and unusual service behavior, making it crucial for detecting unauthorized access or potential cyber threats. For organizations that need to meet regulatory requirements, monitoring system logs ensures proper tracking of system changes and security policies. About the Module ansible.eda.journald is an Event-Driven Ansible (EDA) plugin that listens to journald logs in real time and triggers automated responses based on log events. This makes it useful for tasks like automatically restarting failed services, detecting security threats, or alerting administrators when critical system issues occur.

GPT-4.5 vs o3: The Applicability of AI Models Across Industries

Aggregated on: 2025-04-10 16:28:22

OpenAI’s new GPT-4.5 model builds on its predecessors' strengths while addressing key challenges in reliability and creativity. In this article, we explore how GPT-4.5 stands apart, when it should be favored over more specialized models like o3, and what this means for businesses seeking strong solutions in AI/ML development, embedded IoT, cloud solutions, and web/mobile development. Disclaimer: This article does not offer direct technical comparisons between GPT-4.5 and o3. It provides a preliminary evaluation of their potential applications across industries, noting that GPT-4.5 is in its early release stage and will continue to evolve. For rigorous technical assessments, please refer to detailed benchmark studies as they become available.

Java UDFs and Stored Procedures for Data Engineers: A Hands-On Guide

Aggregated on: 2025-04-10 15:43:22

Java has long been the backbone of enterprise applications, but its role in data engineering is growing rapidly. Today, modern data platforms like Snowflake are giving Java developers first-class support to write powerful, flexible, and scalable data logic directly inside the database environment. This guide demonstrates how Java developers can leverage familiar tools — like classes, streams, and DataFrames — to build user-defined functions (UDFs) and stored procedures for real-time and batch data processing. By writing this logic in Java, you can encapsulate business rules, perform asynchronous operations, interact with structured or unstructured data, and maintain robust, reusable codebases within your data workflows.

Python Packages for Validating Database Migration Projects

Aggregated on: 2025-04-10 13:58:22

Database migrations are critical projects in software systems, ensuring that data is seamlessly transferred from legacy databases to modern systems without corruption, loss, or performance degradation. As software testing professionals, validating database migrations is essential to ensuring data integrity and consistency. Python provides several packages to facilitate database validation. This article analyzes the most useful Python packages for validating database migration projects, complete with code snippets and performance comparisons.

Why State Management Is the #1 Challenge for Agentic AI

Aggregated on: 2025-04-09 22:28:22

When you have a conversation with a chatbot, you want it to remember previous interactions within that conversation. That’s what it means to have a conversation, after all. When you use generative AI (genAI) to perform some analysis task beyond a single response to a prompt, you want it to retain the context of earlier prompts within that task.

Unlocking the Power of Serverless AI/ML on AWS: Expert Strategies for Scalable and Secure Applications

Aggregated on: 2025-04-09 20:58:22

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. By abstracting the complexities of infrastructure, AWS enables teams to focus on innovation. When combined with the transformative capabilities of artificial intelligence (AI) and machine learning (ML), serverless architectures become a powerhouse for creating intelligent, scalable, and cost-efficient solutions. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action. Why Combine AI, ML, and Serverless Computing? The fusion of serverless computing with AI and ML represents a significant leap forward for modern application development. Serverless systems scale automatically, simplify operational overhead, and use a pay-per-use model that keeps costs in check. On the other hand, AI brings capabilities like natural language processing (NLP), image recognition, and data analytics, while ML enables predictive modeling, dynamic decision making, and personalization. Together, AI and ML unlock opportunities to build intelligent applications that are not only efficient but also responsive to real-world challenges.

How AI Automation Increases Research Productivity

Aggregated on: 2025-04-09 18:43:22

Scientific research is about finding quick, dependable, and efficient ways to accomplish goals. As the demand for high-quality data is essential for making accurate analysis, automation has become a necessity for streamlining the workflow. Automation is transforming research in many fields, helping with everything from collecting data to managing workflows, making research faster and more productive. We explore real-life examples of automated systems that are helping businesses and researchers innovate and accelerate discoveries.

Context Search With AWS Bedrock, Cohere Model, and Spring AI

Aggregated on: 2025-04-09 17:43:21

Today, we will create simple applications using the Cohere Embed Multilingual v3 model via Amazon Bedrock and Spring AI. We’ll skip over basic Spring concepts like bean management and starters, as the main goal of this article is to explore the capabilities of Spring AI and Amazon Bedrock.

Simulating Events in Ansible EDA: A Practical Use Case of ansible.eda.generic

Aggregated on: 2025-04-09 16:43:22

When developing an Event-Driven Ansible rulebook to automate tasks like handling a server outage or responding to a failed CI/CD job, testing the logic can be tricky if we don’t have a live system constantly generating events. That’s where the ansible.eda.generic source plugin comes in handy. It allows us to define mock events and inject them directly into the EDA workflow. This makes it easy to simulate real-time scenarios, test the rule conditions, and ensure the playbooks run as expected in a safe and controlled environment. In this article, I’ll walk you through how to include payloads directly within an Ansible EDA rulebook, as well as how to read payloads from an external file and use that data in rule conditions. I’ll also include some of the parameters like loop_count and loop_delay, which will help to control the number of times an event is triggered and the delay between each trigger. These features are especially helpful for simulating and managing event flow effectively during testing and development.

It's 2025: How Do You Choose Between Doris and ClickHouse?

Aggregated on: 2025-04-09 15:43:21

Database selection is a challenge every data engineer faces. Among the many databases available, Apache Doris and ClickHouse, as two mainstream analytical databases, are often compared. Each has its strengths and is suited to different scenarios, making the choice difficult.

Achieving High Genericity in Code

Aggregated on: 2025-04-09 14:58:21

Building a Highly Generic Tool for Copying Transactional Data Years ago, I set out to build a tool to copy transactional data from one environment to another. A single transaction could span 350+ tables, though not all transactions used all tables. Different transaction types would touch different subsets of these tables. Given this complexity, coding this in Java seemed like a massive undertaking. It was my pet project that I wanted to do during weekends, etc., besides my other important projects, so I had to find shortcuts and ensure high reusability of code.

Understanding the Identity Bridge Framework

Aggregated on: 2025-04-09 13:58:22

Modern authentication protocols, such as SAML and OpenID Connect (OIDC), rely heavily upon federation as the guiding principle to secure front-door authentication. Federation is an elegant approach for web-based applications to isolate authentication from the application using a trust established between the centralized identity provider (IDP) and a subscribing application. Armed with asymmetric key-based digital certificates, federation ensures that an application can securely leverage an external IDP service for authentication and free itself from the burden of handling user interaction during the authentication process. With federation comes the concept of single sign-on (SSO). Suppose the centralized IDP has already established a secure authentication session. In that case, multiple applications can benefit from being able to single sign-on and bypass redundant login, improving user experience and reducing authentication frictions.